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Browsing Theses by Issue Date

Browsing Theses by Issue Date

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  • Prediction Divorce Prospect using Machine Learning Methods: A Case Study on Bangladesh 
    Mukta, Sherin Tasnim (Daffodil International University, 23-01-18)
    In this paper, we suggest a system for predicting divorce and use the Divorce Predictors Scale to evaluate it (DPS). The DPS is a 40-item self-report questionnaire based on Gottman couple's therapy, which could be used as ...
  • Factors Affecting Admission Into Post graduation Programs Among Bangladeshi Graduates 
    Shahriar, S M (Daffodil International University, 23-01-18)
    This thesis titled “Factors Affecting Admission into Postgraduation Programs Among Bangladeshi Graduates” is used machine learning algorithms to determine whether students are interested or not the admit or completing the ...
  • A CNN-Based Melanoma Skin Cancer Detection and Classification Approach 
    Akter, Farzana (Daffodil International University, 23-01-18)
    Among various classes of skin cancer, Melanoma is a perilous pattern of skin cancer. Melanoma, widely familiar as malignant melanoma begins in cells which are called melanocytes. From ancient times, people are affected ...
  • Cyberbullying Detection From Romanized Bangla Text Using Deep Learning Techniques 
    Mia, MD. Mojnu (Daffodil International University, 23-01-18)
    People can freely express their ideas and opinions on a wide range of topics directly through a variety of social media outlets thanks to advancements in the internet and social media. In Bangladesh, people use both English ...
  • Recognizing Bangladeshi Agricultural Insects Using Machine Learning 
    Akter, Tapsara (Daffodil International University, 23-01-18)
    Recently, some work has been done on agricultural insect recognition. But a limited number of works is done on Bangladeshi agricultural insects. Pests decimate crops on a massive scale each year. To achieve high crop output, ...
  • Sentiment Analysis of Garments Workers Using Machine Learning 
    Fuad, Hasin Wasin (Daffodil International University, 23-01-18)
    Sentiment Analysis (SA) is a very popular field for researchers in the field of text mining. Computational treatment of opinions, sentiments and subjectivity of texts are shown by sentiment analysis. In this study I examined ...
  • An Approach for Heart Disease Prediction Using Supervised Machine Learning Algorithms 
    Mira, Koli Mondol (23-01-18)
    The academic community has recently become interested in categorizing medical datasets using machine learning, despite the fact that it is a challenging task. The conclusion of the procedures is aided by the use of numerous ...
  • Credit Risk Analysis Using Machine Learning Algorithms 
    Banerjee, Depayan (Daffodil International University, 23-01-18)
    Almost every financial institution, for instance, credit card companies and banks heavily rely on credit risk grade systems to determine whether to issue a loan to the probable debtor. They put the applicants into 8 ...
  • Lung Disease Classification Using Deep Learning Models Based on Chest X-Ray Images 
    Akter, Runa (Daffodil International University, 23-01-18)
    In the very recent past, Infectious disease-related sickness has long posed a concern on a global scale. Each year, COVID-19, pneumonia, and tuberculosis (TB) cause millions of deaths because they all affect the lungs. ...
  • Tomato Pest Detection Using Convolutional Neural Network in Bangladesh 
    Polin, Johora Akter (Daffodil International University, 23-01-18)
    One of the major commercial crops, tomatoes provide a lot of vitamins and can also be consumed as fruit. Throughout its lifecycle, the tomato is affected by a number of diseases and pests. Lack of prompt management might ...
  • Predicting Game Addiction Using Machine Learning 
    Alam, Md.Sarwar (Daffodil International University, 23-01-18)
    The main purpose of the paper is to determine how online game affects different aspects of Bangladeshi university-going students’ life. To find out the ratio or addiction rate of gaming on these young generation or ...
  • A Comparative Analysis of Deep Learning Approaches for Fish Disease Identification 
    Sadia, Mobassera Asma (Daffodil International University, 23-01-18)
    Bangladesh's fisheries and aquaculture industries play a significant role in the nation's food production, ensuring the food supply's nutritional security, growing agricultural exports, and employing 17 million people ...
  • Coronary Artery Disease Prediction Using Machine Learning Algorithm 
    Bhadra, Bivuti Vushan (Daffodil International University, 23-01-18)
    New technologies such as machine learning and big Data analytics has proven to be a promising solution for the biomedical community, health problems and patients care. It is accurate and therefore useful for early disease ...
  • Entrepreneurs' Prediction Using Machine Learning Algorithms 
    Uz Zaman, Farid (Daffodil International University, 23-01-18)
    From the beginning of the world, entrepreneurs are deeply involved in every sector of our life. The important component is that entrepreneurs are the primary riding pressure of the worldwide economy. This research focuses ...
  • An Alternative System for Removing Vehicle-Generated Noise in the City of Dhaka, Bangladesh. 
    Lia, Nayeema Ahmed (Daffodil International University, 23-01-18)
    There is a serious problem with noise pollution in most cities around the world. In its simplest form, noise can be described as unwanted sound. In addition to the noise that emanates from our workplace, environmental noise ...
  • Honeypots in Cybersecurity– A Security Mechanism That Creats a Virtual Trap To Lure Attackers 
    Naznin, Marina (Daffodil International University, 23-01-18)
    As the popularity of wireless networks soars, maintaining their security is a significant challenge. Wi-Fi networks are susceptible to Rogue Access Points because of the open medium, inadequate software implementation, ...
  • Prevention of Cyber Attacks on Home WiFi Network 
    Deb, Gopal Chandra (Daffodil International University, 23-01-18)
    Our home Wi-Fi allows computers and a variety of other devices, such as smartphones and PDAs, to connect wirelessly to the internet. Unsecured Wi-Fi makes it easier for hackers to get to your private files and information ...
  • Apple and Orange Diseases Detection Using Deep Learniing Techniques 
    Faraduzzaman, G M (Daffodil International University, 23-01-18)
    We know that Bangladesh is an agricultural country where almost all people are dependent on agriculture. In today's world where everyone is health conscious, the ability to identify fruits by quality is very important in ...
  • Movie Recommendation Using Unsupervised Method 
    Chakma, Dibyo (Daffodil International University, 23-01-18)
    Everyone in our hectic world is occupied with their personal and professional lives. There is a maximum number of people who can watch movies in theaters or read books while passing the time. These days, online services ...
  • Data Encryption Technology in Network Information Security 
    Mondal, Tonmoy Sree Sagar (23-01-18)
    Data encryption is the process of converting data from a readable format to a jumbled piece of information. This is carried out in order to prevent snoopers from viewing private data in transit. It is possible to encrypt ...

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